안녕하세요. 오늘은 빅데이터 통계분석 관련 강의를 소개합니다. 코세라에 올라와 있는 강의들이구요. 모두 무료로 들을 수 있습니다.
1. 존스홉킨스 대학 강의
https://www.coursera.org/specializations/jhu-data-science?utm_medium=email&utm_source=marketing&utm_campaign=LOw7oEZAEeeTBmPw_EsYcQ
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
2. 듀크대학 강의
https://www.coursera.org/specializations/statistics
In this Specialization, you will learn to analyze and visualize data in R and created reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis. You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.
현재 듀크대학 강의를 듣고 있는데 R을 활용법을 비롯해서 데이터 통계에 대한 기초부터 배울 수 있어 좋습니다.
통계학 전공자가 아니더라도 충분히 수강이 가능하네요.